Diane Yang
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 2
- Viral gastroenteritis research and epidemiology 1
- COVID-19 Clinical Research Studies 1
-
- COVID-19 epidemiological studies 1
- Co-authors
- A. John IafrateMandakolathur R. MuraliMichael G. AstudilloAnand S. DigheJochen K. LennerzWilfredo F. García-BeltránTyler E. MillerGalit Alter
- Journals
- JHEP Reports (1 paper)Archives of Pathology & Laboratory Medicine (1 paper)Cell (1 paper)Journal of Immunological Methods (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesPolandChina
In The Last Decade
Diane Yang
6 papers receiving 459 citations
Peers
Comparison fields: 5 of 50
- Infectious Diseases 430
- Modeling and Simulation 35
- Neurology 90
- Animal Science and Zoology 44
- Health 24
Countries citing papers authored by Diane Yang
This map shows the geographic impact of Diane Yang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Diane Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Yang more than expected).
Fields of papers citing papers by Diane Yang
This network shows the impact of papers produced by Diane Yang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Diane Yang. The network helps show where Diane Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2020 | 407 | |
| 3 | 2020 | 32 | |
| 4 | 2020 | 12 | |
| 5 | 2020 | 10 | |
| 6 | Safety and immunogenicity of live attenuated hepatitis A virus vaccine (H2 strain) in humans. | 1993 | 3 |
About Diane Yang
Diane Yang is a scholar working on Infectious Diseases, Modeling and Simulation, Hepatology, Biomedical Engineering and Genetics, having authored 6 papers that have together received 465 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Biosensors and Analytical Detection (2 papers), SARS-CoV-2 detection and testing (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Virus-based gene therapy research (1 paper), COVID-19 epidemiological studies (1 paper), COVID-19 Clinical Research Studies (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Infectious Diseases (430 citations), Modeling and Simulation (35 citations), Neurology (90 citations), Animal Science and Zoology (44 citations) and Health (24 citations). Diane Yang has collaborated with scholars based in United States, Poland and China. Frequent co-authors include A. John Iafrate, Mandakolathur R. Murali, Michael G. Astudillo, Anand S. Dighe, Jochen K. Lennerz, Wilfredo F. García-Beltrán, Tyler E. Miller, Galit Alter, Adam D. Nitido and Alejandro B. Balazs. Their work appears in journals such as JHEP Reports, Archives of Pathology & Laboratory Medicine, Cell, Journal of Immunological Methods and SSRN Electronic Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.